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Versioning and Reproducibility
Given the emphasis on traceability and reproducibility in ML models, this category can provide resources on how to effectively track, version, and visualize different aspects of ML pipelines, ensuring consistent and repeatable results.
Help Center ➔ Versioning and Reproducibility ➔ Visualizing ML Pipelines: Utilizing Sematic's Dashboard

Visualizing ML Pipelines: Utilizing Sematic's Dashboard

Last updated November 15, 2023

Introduction:

Visualization is a powerful tool for understanding and managing ML pipelines. This article explores how to use Sematic's dashboard for effective visualization of your ML workflows.

Steps:

  1. Accessing the Visualization Tools: Learn how to navigate to the visualization section in the Sematic dashboard.
  2. Interpreting Pipeline Visuals: Understand the visual representation of your pipeline, including task status, data flow, and execution paths.
  3. Tracking Changes Over Time: Use the dashboard to track changes in your pipeline across different versions.
  4. Analyzing Performance Metrics: Explore how to use visual tools to analyze performance metrics like execution time and resource usage.
  5. Customizing Visualizations: Learn how to customize the visual aspects of your pipeline for clearer understanding and presentation.

Conclusion:

The ability to visualize your ML pipelines in Sematic provides invaluable insights into your workflows, aiding in troubleshooting, optimization, and communication of your project's structure and progress.

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